Parenting Journal · Volume 1 · Issue 3 · Licensed source edition
Approaches for the Use of AI in Workplace Health Promotion and Prevention: Systematic Scoping Review
Originally published 2024-08-20 · JMIR AI
JMIR Publications Inc. · DOI 10.2196/53506 ↗
AI / system type
AI algorithms and technologies used in workplace health promotion and prevention
Workplace evidenceExamines workers, organizations or AI at work. Participants are not necessarily parents; family benefits are not established by this evidence alone.
The AI connection
System or context examined: AI algorithms and technologies used in workplace health promotion and prevention. The source-specific system and study design determine what can be inferred.
Why this reading matters
The reading brings the state of AI-based workplace health promotion and prevention into a concrete discussion of humane work during technological change. It offers systematic scoping review evidence or analysis, not a promise of organizational or family benefit.
Workplace evidence
Work, care and the whole person.
The workplace lens is the state of AI-based workplace health promotion and prevention. Source setting or population: Peer-reviewed workplace health-promotion and prevention studies searched across three academic databases. Parenting and child-development outcomes are not inferred from the workplace evidence.
Examines workers, organizations or AI at work. Participants are not necessarily parents; family benefits are not established by this evidence alone.
Editorial reading guide · Kindness
How can a workplace separate useful AI health support from an attractive promise?
This systematic scoping review examines the state of AI-based workplace health promotion and prevention. Its TRICK home is Kindness, an editorial reading path rather than a claim that the paper tests the full framework.
Study context
Peer-reviewed workplace health-promotion and prevention studies searched across three academic databases
Age / stage: Workplace literature or conceptual analysis; no single child age range
Read with three questions
- How can a workplace separate useful AI health support from an attractive promise?
- What do this study’s design and population — Peer-reviewed workplace health-promotion and prevention studies searched across three academic databases — allow you to infer about another workplace?
- When considering the state of AI-based workplace health promotion and prevention, which decisions would need employee input before applying this reading to a working family’s circumstances?
Keep the limits in view
A scoping map includes heterogeneous technologies and designs; it cannot establish the effectiveness of all workplace AI wellbeing tools.
The text below is the original article’s licensed repository edition. Its wording is not rewritten. Use the Paper Agent beside the text to locate evidence; open the source for figures, tables and complete context.
Opening the verified paper and agent…
Checking the article identity, license record, and saved source text.
Open the repository recordAttribution & reuse
Follow the original.
Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.
Martin Lange; Alexandra Löwe; Ina Kayser; Andrea Schaller (2024). Approaches for the Use of AI in Workplace Health Promotion and Prevention: Systematic Scoping Review JMIR AI. https://doi.org/10.2196/53506
Permissions checked against the saved article notice; repository publication notices screened 2026-11-05. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.